Create an rng object with np.random.default_rng(), you can seed it for reproducible results. You can draw samples from probability distributions, including from the binomial and normal distributions.
If you want to start an argument in certain circles, claim to have a random number generation algorithm. Turns out that producing real random numbers is hard, which is why people often turn to strange ...
Chip-based device paves the way for scalable and secure random number generation, an essential building block for future digital infrastructure Chip-based device paves the way for scalable and secure ...
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